CIC-BoT-IoT

The CICFlowMeter format of the datasets is made up of 83 network features. The details of the datasets are published in:

Mohanad Sarhan, Siamak Layeghy, and Marius Portmann, Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection, Big Data Research, 30, 100359, 2022

The use of the datasets for academic research purposes is granted in perpetuity after citing the above papers. For commercial purposes, it should be agreed upon by the authors. Please get in touch with the author Mohanad Sarhan for more details.

本数据集采用CICFlowMeter格式，涵盖83项网络特征。该数据集的详细信息已发表于以下论文：
Mohanad Sarhan、Siamak Layeghy与Marius Portmann，《面向提升基于机器学习的网络入侵检测模型泛化性与可解释性的标准特征集评估》（Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection），《Big Data Research》，2022年，第30卷，文章编号100359。
在引用上述论文后，本数据集可永久用于学术研究场景。若用于商业用途，则需征得作者同意。如需了解更多细节，请联系作者Mohanad Sarhan。